Introduction to Sequence Analysis for Social Sciences

Course Code

HUB-01-21/22-A-E

Organised by

NCRM, University of Southampton and MiSoC, University of Essex

Presenter

Professor Nicola Barban

Date

20/01/2022 - 21/01/2022

Venue

Online run by University of Southampton and University of Essex

Map

View in Google Maps  (SO17 1BJ)

Contact

Jacqui Thorp
Training and Capacity Building Coordinator, National Centre for Research Methods, University of Southampton
Email: jmh6@soton.ac.uk

Description

The course gives an introduction to the theoretical and practical concepts of sequence analysis for social sciences. Sequence analysis, originally developed in biology to analyse strings of DNA, has attracted increasing attention in the social sciences for the analysis of longitudinal data. Most applications in the social sciences study life course processes, such as labour market careers, educational careers, or family formation. During the short course, we will discuss the usefulness of sequence analysis in applied social sciences as a holistic approach to investigate timing, quantum and sequencing of life course events. We will consider the practical implementation of these methods using available data. Concepts covered include the statistical representations of categorical time series, measures of sequence dissimilarity (i.e., Optimal Matching Algorithm); patterns identification in life course trajectories; classification techniques; criticisms to sequence analysis and new developments.

The course covers:

  • Description of life trajectories
  • Optimal Matching Algorithm for sequence analysis
  • Classification methods for life trajectories
  • Application of sequence analysis in social sciences

By the end of the course participants will:

  •  Describe life trajectories using sequence analysis techniques
  •  Classify sequences in typologies
  •  Use sequence analysis techniques in combination to other quantitative methods

Pre-requisites

  • Basic math and algebra
  • Descriptive statistics
  • OLS regression
  • R (for practical sessions)

 

 

Level

Intermediate (some prior knowledge)

Cost

The fee per teaching day is: • £30 per day for students registered at University. • £60 per day for staff at academic institutions, Research Councils researchers, public sector staff and staff at registered charity organisations and recognised research institutions. • £100 per day for all other participants In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration

Region

South West

Keywords

Descriptive Research, Event History Analysis, Longitudinal Methods, Sequence Analysis, Data Visualization

Related publications and presentations

Descriptive Research
Event History Analysis

Back to archive...